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4 rows where author_association = "CONTRIBUTOR" and issue = 1654022522 sorted by updated_at descending

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user 3

  • ocefpaf 2
  • jsignell 1
  • mroeschke 1

issue 1

  • bad conda solve with pandas 2 · 4 ✖

author_association 1

  • CONTRIBUTOR · 4 ✖
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1498164858 https://github.com/pydata/xarray/issues/7716#issuecomment-1498164858 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85ZTC56 jsignell 4806877 2023-04-05T21:09:59Z 2023-04-05T21:09:59Z CONTRIBUTOR

In that case it could be reasonable to mimic the pattern in test_groupby and mark the failing tests with a @pytest.mark.skipif(not has_pandas_version_two, reason="Tests a scenario that only raises when pandas <= 2")

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  bad conda solve with pandas 2 1654022522
1498160636 https://github.com/pydata/xarray/issues/7716#issuecomment-1498160636 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85ZTB38 mroeschke 10647082 2023-04-05T21:05:34Z 2023-04-05T21:05:34Z CONTRIBUTOR

CI says these are the tests we'd need to fix:

Chiming in from the pandas side on those failures, I think they are all expected https://pandas.pydata.org/docs/whatsnew/v2.0.0.html namely

  • Since pandas supports s, ms and us numpy datetime resolutions now, I'm guessing that's why test_to_datetimeindex_out_of_range and test_should_cftime_be_used_source_outside_range are failing
  • For test_sel_float, pd.Index intentionally does not support np.float16 as dtype anymore (we never had an indexing engine for this dtype)
  • For test_maybe_coerce_to_str, this might be expected too as Index dtypes can hold np.int32 types now
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  bad conda solve with pandas 2 1654022522
1496186966 https://github.com/pydata/xarray/issues/7716#issuecomment-1496186966 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85ZLgBW ocefpaf 950575 2023-04-04T15:30:37Z 2023-04-04T15:30:37Z CONTRIBUTOR

@dcherian do you mind taking a look at https://github.com/conda-forge/conda-forge-repodata-patches-feedstock/pull/426? Please check the versions patched and the applied patch! Thanks!

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  bad conda solve with pandas 2 1654022522
1496107675 https://github.com/pydata/xarray/issues/7716#issuecomment-1496107675 https://api.github.com/repos/pydata/xarray/issues/7716 IC_kwDOAMm_X85ZLMqb ocefpaf 950575 2023-04-04T14:48:55Z 2023-04-04T14:48:55Z CONTRIBUTOR

We need to do a repodata patch for the current xarray. I'll get to it soon.

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  bad conda solve with pandas 2 1654022522

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